Information processing methods, apparatus, equipment and computer-readable storage media

Abstract

This disclosure relates to an information processing method, apparatus, device, and computer-readable storage medium. The information processing method includes: acquiring real-time road data of a first real-time location of a first vehicle; performing road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene belonging to the first real-time location; if a target road scene of an abnormal scene type exists in the at least one road scene, generating abnormal road condition information corresponding to the first real-time location; and sending the abnormal road condition information to a server, wherein the abnormal road condition information is used to notify a second vehicle to issue an abnormal road condition alert. According to embodiments of this disclosure, drivers can be promptly informed of sudden abnormal road conditions, improving driving safety.

Description

Technical Field

[0001] This disclosure relates to the field of information processing technology, and in particular to an information processing method, apparatus, device and computer-readable storage medium. Background Technology

[0002] Existing vehicles use navigation systems to provide navigation services to drivers. These services mainly include route planning, providing drivers with information on traffic rules and camera monitoring of upcoming road sections. When planning routes, the system can prioritize recommending routes with fewer traffic lights, shorter travel times, and less congestion, allowing drivers to quickly reach their destinations. During the journey, the system provides drivers with information on traffic rules for upcoming road sections, such as speed limits, driving precautions, and camera monitoring, and reminds drivers at appropriate times, effectively preventing them from violating traffic rules.

[0003] While existing technologies offer many conveniences to drivers, current navigation systems cannot provide drivers with real-time information on sudden abnormal road conditions. Consequently, drivers are unable to obtain relevant information on sudden abnormal road conditions in a timely manner, thus reducing driving safety. Summary of the Invention

[0004] To address the aforementioned technical problems, this disclosure provides an information processing method, apparatus, device, and computer-readable storage medium.

[0005] In a first aspect, this disclosure provides an information processing method applied to a first vehicle, the method comprising:

[0006] Obtain real-time road data for the first real-time location of the first vehicle;

[0007] Based on real-time road data, road scene analysis is performed on the first real-time location to obtain at least one road scene to which the first real-time location belongs;

[0008] If at least one road scene contains a target road scene of the abnormal scene type, generate abnormal road condition information corresponding to the first real-time location;

[0009] The system sends abnormal traffic information to the server, which is then used to notify the second vehicle to issue an abnormal traffic alert.

[0010] Secondly, this disclosure provides an information processing method applied to a second vehicle, the method comprising:

[0011] The system receives abnormal road condition information sent by the server. The abnormal road condition information corresponds to the first real-time location. The abnormal road condition information is generated when there is a target road scene of the abnormal scene type in at least one road scene corresponding to the first real-time location. The at least one road scene is obtained by analyzing the real-time road data obtained by the first vehicle at the first real-time location.

[0012] In response to abnormal traffic information, issue an abnormal traffic alert.

[0013] Thirdly, this disclosure provides an information processing apparatus applied to a first vehicle, the apparatus comprising:

[0014] The data acquisition module is used to acquire real-time road data of the first real-time location of the first vehicle;

[0015] The scene analysis module is used to perform road scene analysis on the first real-time location based on real-time road data, and to obtain at least one road scene to which the first real-time location belongs.

[0016] The information generation module is used to generate abnormal road condition information corresponding to the first real-time location if there is a target road scene of the abnormal scene type in at least one road scene.

[0017] The information sending module is used to send abnormal road condition information to the server, and the abnormal road condition information is used to notify the second vehicle to issue an abnormal road condition reminder.

[0018] Fourthly, this disclosure provides an information processing apparatus for use in a second vehicle, the apparatus comprising:

[0019] The information receiving module is used to receive abnormal road condition information sent by the server. The abnormal road condition information corresponds to the first real-time location. The abnormal road condition information is generated when there is a target road scene of the abnormal scene type in at least one road scene corresponding to the first real-time location. The at least one road scene is obtained by analyzing the real-time road data obtained by the first vehicle at the first real-time location.

[0020] The traffic condition alert module is used to issue alerts in response to abnormal traffic conditions.

[0021] Fifthly, this disclosure provides an information processing apparatus, which includes:

[0022] processor;

[0023] Memory, used to store executable instructions;

[0024] The processor is used to read executable instructions from memory and execute the executable instructions to implement the information processing method of the first or second aspect of this application.

[0025] In a sixth aspect, this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the information processing method of the first or second aspect.

[0026] The technical solution provided in this disclosure has the following advantages compared with the prior art:

[0027] The information processing method, apparatus, device, and computer-readable storage medium of this disclosure can collect real-time road data at a first real-time location using a first vehicle at a first real-time location, and perform road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene to which the real-time location belongs. Then, when there is a target road scene of an abnormal scene type in the at least one road scene, corresponding abnormal road condition information is generated and sent to a server. This allows the server to notify other vehicles, i.e., a second vehicle, to issue an abnormal road condition alert corresponding to the abnormal road condition information. This enables other vehicles to promptly obtain abnormal road condition information and promptly alert the driver to the abnormal road condition, thereby enabling the driver to promptly obtain information about sudden abnormal road conditions and improving driving safety. Attached Figure Description

[0028] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0029] Figure 1 This is an application scenario diagram of an information processing method in one embodiment;

[0030] Figure 2 This is a flowchart illustrating an information processing method in one embodiment;

[0031] Figure 3 This is a flowchart illustrating the information processing method in another embodiment;

[0032] Figure 4 This is a structural block diagram of an information processing device in one embodiment;

[0033] Figure 5 This is a structural block diagram of the information processing device in another embodiment;

[0034] Figure 6 This is a schematic diagram of the structure of an information processing device in one embodiment. Detailed Implementation

[0035] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0036] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0037] The term "comprising" and its variations as used herein are open-ended inclusions, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below.

[0038] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0039] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0040] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0041] The information processing method provided in this disclosure can be applied to, for example... Figure 1 The application scenario shown includes a first vehicle 110, a second vehicle 120, and a server 130. The information processing devices on the first vehicle 110 and the second vehicle 120 can communicate with the server 130 via vehicle-to-everything (V2X) technology.

[0042] Among them, the first vehicle 110 can be any vehicle passing through the first real-time location, the second vehicle 120 can be any vehicle, and the first real-time location can be any road location.

[0043] The information processing equipment on the first vehicle 110 can be a main controller, a system-on-chip (SOC) for driver assistance systems, or a computing platform; no restrictions are placed here. The information processing equipment on the second vehicle 120 can be a main controller, a system-on-chip (SOC) for driver assistance systems, or a computing platform; no restrictions are placed here.

[0044] Server 130 can be implemented using a standalone server or a server cluster consisting of multiple servers. Server 130 can receive and store abnormal road condition information sent by the information processing device on the first vehicle 110, and send the abnormal road condition information to the information processing device on the second vehicle 120.

[0045] Specifically, the information processing device on the first vehicle 110 can obtain real-time road data of the first real-time location where the first vehicle is located, and perform road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene to which the first real-time location belongs. Then, it can detect whether there is a target road scene of the abnormal scene type in the at least one road scene. If a target road scene of the abnormal scene type is detected in the at least one road scene, abnormal road condition information corresponding to the first real-time location is generated and sent to the server.

[0046] After receiving abnormal road condition information, server 130 can send the abnormal road condition information to the information processing device on the second vehicle 120 to notify the information processing device on the second vehicle 120 to issue an abnormal road condition reminder corresponding to the abnormal road condition information.

[0047] The information processing equipment on the second vehicle 120 can receive abnormal road condition information sent by the server and issue an abnormal road condition reminder in response to the abnormal road condition information.

[0048] Therefore, by collecting real-time road data at the first real-time location from the first vehicle at the first real-time location, and performing road scene analysis on the first real-time location based on the real-time road data, at least one road scene to which the real-time location belongs can be obtained. Then, when there is a target road scene of an abnormal scene type in at least one road scene, corresponding abnormal road condition information is generated and sent to the server. This allows the server to notify other vehicles, i.e., the second vehicle, to issue an abnormal road condition alert corresponding to the abnormal road condition information. This enables other vehicles to be aware of the abnormal road condition information in a timely manner and to promptly alert the driver to the abnormal road condition, thereby enabling the driver to be aware of sudden abnormal road conditions in a timely manner and improving driving safety.

[0049] In some embodiments, the information processing device on the first vehicle 110 may also detect the real-time vehicle status of the first vehicle 110 before acquiring the real-time road data of the first real-time location where the first vehicle 110 is located. If the real-time vehicle status of the first vehicle 110 is detected to be in a driving state, then the real-time road data of the first real-time location where the first vehicle 110 is located is acquired.

[0050] Therefore, the information processing equipment on the first vehicle 110 can obtain real-time road data of the first real-time location of the first vehicle 110 during driving, which improves the effectiveness of detecting the first real-time location, reduces the amount of data processing on the information processing equipment on the first vehicle 110 when the first vehicle 110 is in other states, and saves the computing resources of the information processing equipment on the first vehicle 110.

[0051] In some embodiments, the information processing device on the first vehicle 110 can input real-time road data into a pre-trained road scene analysis model, so as to perform road scene prediction analysis on the real-time road data through the road scene analysis model, obtain the probability value of the first real-time location output by the road scene analysis model belonging to each preset scene, and then take the preset scene with the probability value greater than or equal to the preset first probability value threshold as the road scene to which the first real-time location belongs.

[0052] Therefore, the information processing equipment on the first vehicle 110 can use a pre-trained road scene analysis model to perform road scene prediction analysis on real-time road data, obtain the road scene to which the first real-time location belongs, and thus make the analyzed road scene more accurate.

[0053] In some embodiments, when the information processing device on the first vehicle 110 generates abnormal road condition information corresponding to the first real-time location, it can first perform a fusion calculation on the probability value corresponding to the target road scene to obtain the abnormal probability value corresponding to the first real-time location, and then compare the abnormal probability value with a preset second probability value threshold. If the abnormal probability value is greater than or equal to the second probability value threshold, then the abnormal road condition information corresponding to the first real-time location is generated.

[0054] Therefore, the information processing equipment on the first vehicle 110 can fuse and calculate the probability values ​​of all target road scenes belonging to the abnormal scene type to obtain the abnormal probability value corresponding to the first real-time location, and compare it with the second probability value threshold to analyze whether a road abnormality has occurred at the first real-time location. If it is greater than or equal to the preset second probability value threshold, it is determined that a road abnormality has occurred at the first real-time location, and only then will abnormal road condition information corresponding to the first real-time location be generated, further improving the accuracy of the generated abnormal road condition information.

[0055] In some embodiments, the information processing device on the second vehicle 120 can receive broadcast information sent by the server 130 and obtain abnormal road condition information in the broadcast information.

[0056] Therefore, server 130 does not need to send information to each vehicle in a specific direction. Instead, it notifies the relevant vehicles by widely disseminating information, which avoids missing any information from server 130 and ensures that all relevant vehicles receive the information, thereby further improving the driving safety of the relevant vehicles.

[0057] In some other embodiments of this disclosure, before issuing an abnormal road condition alert, the information processing device on the second vehicle 120 can detect in real time whether the second vehicle 120 passes through the first real-time location based on the abnormal road condition information. If the second vehicle 120 is detected to pass through the first real-time location, an abnormal road condition alert corresponding to the abnormal road condition information is issued; otherwise, no abnormal road condition alert corresponding to the abnormal road condition information is issued.

[0058] Therefore, the information processing equipment on the second vehicle 120 can only issue an abnormal road condition reminder when it detects that the second vehicle 120 will pass through the first real-time location, thereby reducing unnecessary abnormal road condition reminders to the driver and reducing driving interference to the driver.

[0059] In some other embodiments, the information processing device on the second vehicle 120 may also detect in real time whether the second vehicle 120 has reached the road range corresponding to the first real-time location after receiving the abnormal road condition information sent by the server and before issuing the abnormal road condition reminder corresponding to the abnormal road condition information. If the abnormal road condition information is detected to be within the road range corresponding to the first real-time location, the device may issue the abnormal road condition reminder corresponding to the abnormal road condition information; otherwise, the device may not issue the abnormal road condition reminder corresponding to the abnormal road condition information.

[0060] Therefore, the information processing equipment on the second vehicle 120 can issue an abnormal road condition alert when it detects that the second vehicle 120 has reached the road range corresponding to the first real-time location, thereby further improving the driver's vigilance and driving safety.

[0061] In some further embodiments, the information processing device on the second vehicle 120 may also detect in real time whether the second vehicle 120 has reached the road range corresponding to the first real-time location after detecting that the second vehicle 120 has passed through the first real-time location and before issuing an abnormal road condition reminder corresponding to the abnormal road condition information. If the second vehicle 120 has reached the road range corresponding to the first real-time location, an abnormal road condition reminder corresponding to the abnormal road condition information may be issued; otherwise, no abnormal road condition reminder corresponding to the abnormal road condition information may be issued.

[0062] Therefore, the information processing equipment on the second vehicle 120 can issue an abnormal road condition alert when it detects that the second vehicle 120 has entered the road area corresponding to the first real-time location, further improving the driver's vigilance and driving safety. At the same time, the information processing equipment on the second vehicle 120 will only further detect whether the second vehicle 120 has entered the road area corresponding to the first real-time location in real time when it detects that the second vehicle 120 will pass through the first real-time location, reducing the data processing load on the information processing equipment on the second vehicle 120.

[0063] In some embodiments of this disclosure, the information processing device on the first vehicle 110 can obtain the first location information corresponding to the first real-time location and the abnormal scene tag corresponding to the target road scene, and then package the obtained first location information and abnormal scene tag into abnormal road condition information to generate abnormal road condition information corresponding to the first real-time location.

[0064] In some embodiments, the abnormal road condition information received by the information processing device on the second vehicle 120 may include first location information corresponding to the first real-time location. The information processing device on the second vehicle 120 may detect whether the planned path of the second vehicle 120 passes through the first real-time location based on the first location information. If the planned path of the second vehicle 120 passes through the first real-time location, it is determined that the second vehicle 120 has passed through the first real-time location. If the planned path of the second vehicle 120 does not pass through the first real-time location, it is determined that the second vehicle 120 does not pass through the first real-time location.

[0065] Therefore, the information processing equipment on the second vehicle 120 can detect whether the second vehicle 120 will pass through the first real-time location based on the first location information corresponding to the first real-time location and the planned path of the second vehicle 120, thereby improving the accuracy of the detection results.

[0066] In some embodiments, the abnormal road condition information received by the information processing device on the second vehicle 120 may include first location information corresponding to the first real-time location. Based on the first location information, it can detect in real time whether the first real-time location is within a preset range ahead along the driving direction of the second vehicle 120. If the first real-time location is detected to be within the preset range ahead, it is determined that the second vehicle 120 has reached the road range corresponding to the first real-time location; otherwise, it is determined that the second vehicle 120 has not reached the road range corresponding to the first real-time location.

[0067] Therefore, the information processing equipment on the second vehicle 120 can detect whether the second vehicle 120 has reached the road range corresponding to the first real-time position by detecting whether the first real-time position exists in the designated road area in front of the second vehicle 120, thereby improving the accuracy of the detection results and providing the driver with reaction time, further improving the driving safety of the vehicle.

[0068] In other embodiments, the abnormal road condition information received by the information processing device on the second vehicle 120 includes first location information corresponding to the first real-time location. Based on the first location information, the abnormal road condition reminder location corresponding to the first real-time location can be determined, and the second vehicle 120 can be detected in real time whether it has reached the abnormal road condition reminder location. If the second vehicle 120 is detected to have reached the abnormal road condition reminder location, it is determined that the second vehicle 120 has reached the road range corresponding to the first real-time location; otherwise, it is determined that the second vehicle 120 has not reached the road range corresponding to the first real-time location.

[0069] Therefore, the information processing equipment on the second vehicle 120 can detect whether the second vehicle 120 has reached the abnormal road condition warning location corresponding to the first real-time location, thereby improving the accuracy of the detection results and providing the driver with reaction time, further enhancing the driving safety of the vehicle.

[0070] In the embodiments disclosed herein, such as Figure 2 As shown, this disclosure provides a flowchart of an information processing method. In an embodiment of this disclosure, the method can be applied to a first vehicle; for example, the first vehicle can be... Figure 1 The first vehicle 110 in the process. Furthermore, the method can be applied to the information processing equipment on the first vehicle, which can be a main controller, a driver assistance system (SOC), or a computing platform, without any restrictions.

[0071] like Figure 2 As shown, the information processing method may include the following steps:

[0072] S210. Obtain real-time road data of the first real-time location of the first vehicle.

[0073] In this embodiment of the disclosure, when the information processing device on the first vehicle needs to detect the road conditions at its first real-time location, it can obtain real-time road data at the first real-time location of the first vehicle.

[0074] Optionally, after the first vehicle is started or while the first vehicle is in motion, the information processing equipment on the first vehicle can collect real-time road data of the first real-time location of the first vehicle through the sensors on the first vehicle.

[0075] Optionally, the first real-time location can be any road location.

[0076] In some embodiments, if the first real-time location is any road location of the first vehicle after startup, the first real-time location of the first vehicle can be any road location where the first vehicle is parked or any road location where the first vehicle is driving.

[0077] Therefore, the information processing equipment on the first vehicle can obtain real-time road data of each first real-time location of the first vehicle after it starts up, improving the comprehensiveness of the detected first real-time location and enabling the information processing equipment on the first vehicle to more comprehensively detect abnormal road conditions at each road location.

[0078] In some embodiments, if the first real-time location is any road location of the first vehicle during its driving process, the first real-time location of the first vehicle can be any road location where the first vehicle is driving.

[0079] Therefore, the information processing equipment on the first vehicle can obtain real-time road data of the first real-time location of the first vehicle during driving, which improves the effectiveness of the first real-time location confirmation, reduces the data processing load of the information processing equipment on the first vehicle when the first vehicle is in other states, and saves the computing resources of the information processing equipment on the first vehicle.

[0080] Optionally, real-time road data may include environmental image data, environmental temperature and humidity data, and other data related to the detection of road conditions, without limitation.

[0081] When real-time road data includes environmental image data, the sensor may include at least one of an optical camera sensor, a lidar sensor, and a millimeter-wave radar sensor. In this case, the sensor can be used to acquire environmental image data located in front of the vehicle along the vehicle's direction of travel.

[0082] In some examples, the sensors may include optical camera sensors, lidar sensors, and millimeter-wave radar sensors to ensure that clear and complete environmental image data can be acquired at different times and under different weather conditions.

[0083] When real-time road data includes ambient temperature and humidity data, the sensor may include a temperature and humidity sensor. In this case, the sensor can be used to collect ambient temperature and humidity data of the vehicle's location.

[0084] When real-time road data includes other data related to detecting road conditions, the sensors may include other relevant sensors, without limitation.

[0085] S220. Based on real-time road data, perform road scene analysis on the first real-time location to obtain at least one road scene to which the first real-time location belongs.

[0086] In this embodiment of the disclosure, after acquiring real-time road data, the information processing device on the first vehicle can perform road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene to which the first real-time location belongs.

[0087] Furthermore, the road scene can include scenes related to weather factors at the first real-time location and scenes related to human factors at the first real-time location.

[0088] Among them, the scenarios related to weather factors at the first real-time location can include sunny days, icing, heavy rain, heavy fog, smog, etc., while the scenarios related to human factors at the first real-time location can include smooth traffic, traffic accidents, road congestion, temporary traffic control, etc.

[0089] Furthermore, these road scenes can be categorized into normal road scenes and abnormal road scenes.

[0090] For example, sunny and smooth traffic are considered normal road scenarios, while icy, rainy, foggy, smoggy, traffic accidents, traffic congestion, and temporary traffic control are considered abnormal road scenarios.

[0091] In other words, any road scenario that does not affect normal traffic flow or safe driving is considered a normal road scenario, while any road scenario that obstructs normal traffic flow or affects safe driving is considered an abnormal road scenario.

[0092] S230. If at least one road scene contains a target road scene of the abnormal scene type, generate abnormal road condition information corresponding to the first real-time location.

[0093] In this embodiment of the disclosure, after the information processing device on the first vehicle analyzes and obtains at least one road scene to which the first real-time location belongs, it can detect whether there is a target road scene of the abnormal scene type in the at least one road scene. If there is a target road scene of the abnormal scene type in the at least one road scene, abnormal road condition information corresponding to the first real-time location is generated; otherwise, abnormal road condition information corresponding to the first real-time location is not generated, and the process returns to execute S210.

[0094] In some embodiments, the information processing device on the first vehicle pre-stores a road scene blacklist, which includes all abnormal road scenes of abnormal scene types. After obtaining at least one road scene belonging to the first real-time location, the information processing device on the first vehicle can match the obtained at least one road scene with each abnormal road scene in the pre-stored road scene blacklist. If at least one road scene contains a road scene that matches an abnormal road scene in the road scene blacklist, the information processing device on the first vehicle will take the road scene that matches the abnormal road scene in the road scene blacklist as the target road scene belonging to the abnormal scene type, and determine that at least one road scene contains a target road scene belonging to the abnormal scene type; if at least one road scene does not contain any road scene that matches an abnormal road scene in the road scene blacklist, the information processing device on the first vehicle will determine that at least one road scene does not contain a target road scene belonging to the abnormal scene type.

[0095] In other embodiments, the information processing device on the first vehicle pre-stores a road scene whitelist, which includes all normal road scenes of normal scene types. After obtaining at least one road scene belonging to the first real-time location, the information processing device on the first vehicle can match the obtained at least one road scene with each normal road scene in the pre-stored road scene whitelist. If there is a road scene in the at least one road scene that does not match a normal road scene in the road scene whitelist, the information processing device on the first vehicle will consider the road scene that does not match a normal road scene in the road scene whitelist as a target road scene belonging to an abnormal scene type, and determine that at least one target road scene belonging to an abnormal scene type has been detected; if there are no road scenes in the at least one road scene that do not match a normal road scene in the road scene whitelist, the information processing device on the first vehicle will determine that no target road scene belonging to an abnormal scene type has been detected.

[0096] The road scene blacklist or road scene whitelist can be obtained and stored in advance by the information processing device on the first vehicle through vehicle networking technology from the server. The information processing device on the first vehicle can also obtain and store new road scene blacklists or new road scene whitelists from the server at regular intervals to achieve timely updates of the road scene blacklists or road scene whitelists.

[0097] Among them, the server can be, for example Figure 1 Server 130 in the middle.

[0098] S240. Send abnormal road condition information to the server. The abnormal road condition information is used to notify the second vehicle to issue an abnormal road condition reminder.

[0099] In this embodiment of the disclosure, after generating abnormal road condition information corresponding to the first real-time location, the information processing device on the first vehicle can send the abnormal road condition information to the server through vehicle networking technology.

[0100] Specifically, the information processing device on the first vehicle can send the abnormal traffic information to the server through the vehicle-to-everything (V2X) module in the communication device on the first vehicle. After receiving the abnormal traffic information, the server can send the abnormal traffic information to the information processing devices on each vehicle to notify the information processing devices on the corresponding vehicles to issue abnormal traffic alerts.

[0101] Optionally, abnormal traffic information can be specifically used to notify a second vehicle that is about to arrive at the first real-time location to issue an abnormal traffic alert.

[0102] In this embodiment of the disclosure, a first vehicle at a first real-time location can collect real-time road data at that location, and perform road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene to which the real-time location belongs. Then, when there is a target road scene of an abnormal scene type in the at least one road scene, corresponding abnormal road condition information is generated and sent to the server. This allows the server to notify other vehicles, i.e., the second vehicle, to issue an abnormal road condition alert corresponding to the abnormal road condition information. This enables other vehicles to promptly obtain abnormal road condition information and promptly alert the driver to the abnormal road condition, thereby enabling the driver to promptly obtain information about sudden abnormal road conditions and improving driving safety.

[0103] In another embodiment of this disclosure, if the information processing device on the first vehicle needs to detect the road conditions at the first real-time location when the first vehicle starts to drive, the information processing method may further include, before S210: detecting the real-time vehicle status of the first vehicle.

[0104] Specifically, after the first vehicle starts, the information processing equipment on the first vehicle can detect the real-time vehicle status of the first vehicle by checking its gear position. If the first vehicle is in park, its real-time vehicle status is that it is not moving; if the first vehicle is in drive, its real-time vehicle status is that it is moving.

[0105] Furthermore, S210 may specifically include: when the real-time vehicle status is in a driving state, acquiring real-time road data of the first real-time location of the first vehicle.

[0106] Specifically, if the information processing device on the first vehicle detects that the vehicle's real-time vehicle status is in a driving state, the information processing device on the first vehicle can obtain real-time road data of the first real-time location where the first vehicle is located. Otherwise, if the information processing device on the first vehicle detects that the vehicle's real-time vehicle status is in a non-driving state, the information processing device on the first vehicle will not obtain real-time road data of the first real-time location where the first vehicle is located.

[0107] Therefore, the information processing equipment on the first vehicle can accurately detect the real-time vehicle status of the first vehicle by detecting the real-time gear position of the first vehicle, and only acquire the real-time road data of the first real-time position where the first vehicle is in motion, thereby improving the effectiveness of detecting the first real-time position, reducing the amount of data processing on the information processing equipment of the first vehicle when the first vehicle is in other states, and saving the computing resources of the information processing equipment of the first vehicle.

[0108] In yet another embodiment of this disclosure, the information processing device on the first vehicle can perform road scene analysis on real-time road data in various ways to obtain at least one road scene to which the first real-time location belongs, as will be described below.

[0109] In some embodiments of this disclosure, since real-time road data can include various types of data, and the types of data required for analyzing each preset scenario are different, the information processing device on the first vehicle can first extract the analysis data required for analyzing each preset scenario from the real-time road data based on the different types of data required for different preset scenarios. Then, for each preset scenario, the analysis data required for the preset scenario is input into the pre-trained analysis model corresponding to the preset scenario to obtain the probability value of the analysis data belonging to the preset scenario output by the analysis model. If the probability value is greater than or equal to a third probability value threshold, the first real-time location is determined to belong to the preset scenario, and the preset scenario is taken as the road scenario to which the first real-time location belongs. After the information processing device on the first vehicle has completed the analysis of all preset scenarios, it can determine all road scenarios to which the first real-time location belongs.

[0110] The third probability threshold can be any probability value set as needed to characterize whether the analyzed data belongs to the preset scenario, such as 0.5, 0.7, etc., without any restrictions.

[0111] Furthermore, for each preset scenario, the analysis model can be trained using the training samples corresponding to that scenario to obtain a pre-trained analysis model. Moreover, for each preset scenario, the training samples can include the data samples corresponding to that preset scenario and the corresponding annotation results.

[0112] For example, when training an analysis model for a foggy scene, the data samples can include the types of data required for a foggy scene, such as humidity data and environmental image data. When the data sample belongs to a foggy scene, the labeling result can be 1, and when the data sample does not belong to a foggy scene, the labeling result can be 0.

[0113] Therefore, the information processing equipment on the first vehicle uses the pre-trained analysis models corresponding to each preset scenario and the analysis data required for each preset scenario to independently analyze whether the first real-time position belongs to each preset scenario, thereby improving the accuracy of detection.

[0114] In some other embodiments of this disclosure, S220 may specifically include: inputting real-time road data into a pre-trained road scene analysis model to obtain the probability value of the first real-time location output by the road scene analysis model belonging to each preset scene; and taking the preset scene whose probability value is greater than or equal to a preset first probability value threshold as the road scene to which the first real-time location belongs.

[0115] Specifically, the information processing equipment on the first vehicle can also input all the acquired real-time road data into the pre-trained road scene analysis model to obtain the probability value of the first real-time location belonging to each preset scene output by the road scene analysis model, and compare the probability value of the first real-time location belonging to each preset scene with the first probability value threshold respectively, and then take the preset scene to which the probability value of the comparison result is greater than or equal to the first probability value threshold as the road scene to which the first real-time location belongs.

[0116] The first probability threshold can be any probability value set as needed to characterize that the real-time road data belongs to any preset scenario, such as 0.4, 0.5, 0.6, etc., without any restrictions.

[0117] Furthermore, the road scene analysis model can be trained using pre-set training samples to obtain a pre-trained road scene analysis model. Each training sample can include the road data sample and its corresponding annotation results.

[0118] For example, if the preset road scenarios include sunny, blizzard, icy, traffic control, and unobstructed traffic, the road data samples can be all types of data that actual vehicles can collect through sensors. The annotation results can include the annotation values ​​corresponding to each scenario. When the road data sample belongs to the blizzard scenario and the traffic control scenario, the annotation value for the blizzard scenario and the traffic control scenario is 1, and the annotation value for other scenarios is 0. When the road data sample belongs to the sunny and unobstructed traffic scenarios, the annotation value for the sunny and unobstructed traffic scenarios is 1, and the annotation value for other scenarios is 0.

[0119] Therefore, the information processing equipment on the first vehicle can use a pre-trained road scene analysis model and all real-time road data to quickly detect whether the first real-time location belongs to each preset scene at once, thus improving the real-time performance of the detection results.

[0120] Optionally, in order to improve the accuracy of the generated abnormal road condition information, generating the abnormal road condition information corresponding to the first real-time location may specifically include: performing a fusion calculation on the probability value corresponding to the target road scene to obtain the abnormal probability value corresponding to the first real-time location.

[0121] Specifically, after the information processing equipment on the first vehicle determines the at least one road scene to which the first real-time location belongs, it must first detect whether there is a target road scene of the abnormal scene type in the at least one road scene. If a target road scene of the abnormal scene type is detected in the at least one road scene, it is necessary to obtain the probability value corresponding to each target road scene, that is, the probability value of the first real-time location belonging to each target road scene as analyzed by the model, and then perform a fusion calculation on the probability values ​​corresponding to each target road scene to obtain the abnormal probability value corresponding to the first real-time location.

[0122] In some embodiments, the anomaly probability value corresponding to the first real-time location can be the fusion probability value obtained by summing or weighted summing the probability values ​​corresponding to the target road scene.

[0123] In other embodiments, the anomaly probability value corresponding to the first real-time location can be the fusion probability value obtained by averaging the probability values ​​corresponding to the target road scene.

[0124] In some other embodiments, the fusion calculation can also be any other calculation method that can fuse the probability values ​​corresponding to each target road scene as needed, and no limitation is made here.

[0125] Furthermore, generating abnormal traffic information corresponding to the first real-time location may specifically include: generating abnormal traffic information corresponding to the first real-time location if the abnormal probability value is greater than or equal to a preset second probability value threshold.

[0126] Specifically, the information processing device on the first vehicle can compare the abnormal probability value with a preset second probability value threshold. If the abnormal probability value is greater than or equal to the preset second probability value threshold, it can be determined that the probability that the first real-time location belongs to all abnormal road conditions is greater than the probability that the first real-time location belongs to all normal road conditions. Therefore, abnormal road condition information corresponding to the first real-time location can be generated. Otherwise, abnormal road condition information corresponding to the first real-time location is not generated.

[0127] The second probability threshold can be any probability value set as needed to characterize the occurrence of road anomalies at the first real-time location, such as 0.5, 0.6, etc., and there is no restriction here.

[0128] For example, during the driving of the first vehicle, after acquiring real-time road data of the first real-time location, the information processing device on the first vehicle can first perform road scene analysis based on the real-time road data to obtain the probability value of the first real-time location belonging to each preset scene. Then, based on the probability value of the first real-time location belonging to each preset scene, it can determine at least one road scene to which the first real-time location belongs. Then, it can detect whether there is a target road scene of the abnormal scene type in the at least one road scene. If a target road scene of the abnormal scene type is detected in the at least one road scene, the probability values ​​corresponding to each target road scene are fused and calculated to obtain the abnormal probability value corresponding to the first real-time location. Then, the abnormal probability value is compared with a preset second probability value threshold. If the abnormal probability value is greater than or equal to the preset second probability value threshold, abnormal road condition information corresponding to the first real-time location is generated; otherwise, abnormal road condition information corresponding to the first real-time location is not generated.

[0129] Therefore, the information processing equipment on the first vehicle can fuse and calculate the probability values ​​of all target road scenes belonging to the abnormal scene type to obtain the abnormal probability value corresponding to the first real-time location, and compare it with the second probability value threshold to analyze whether a road abnormality has occurred at the first real-time location. If it is greater than or equal to the preset second probability value threshold, it is determined that a road abnormality has occurred at the first real-time location, and only then will abnormal road condition information corresponding to the first real-time location be generated, further improving the accuracy of the generated abnormal road condition information.

[0130] In another embodiment of this disclosure, in order to clearly inform other vehicles of the actual location of the first real-time location and the specific scenario of the abnormal road condition, S230 may specifically include: obtaining the first location information corresponding to the first real-time location and the abnormal scenario tag corresponding to the target road scenario; and packaging the first location information and the abnormal scenario tag into abnormal road condition information.

[0131] Furthermore, the first location information can be real-time geographic coordinates or the road segment to which the real-time geographic coordinates belong; there are no restrictions here.

[0132] When the first location information is real-time geographic coordinates, the information processing device on the first vehicle can directly package the real-time geographic coordinates of the first real-time location and the abnormal scene tags corresponding to each target road scene into abnormal road condition information.

[0133] When the first location information is the road segment to which the real-time geographic coordinates belong, the information processing device on the first vehicle can first determine the road segment to which the real-time geographic coordinates of the first real-time location belong on the first vehicle's driving path, and then package the road segment to which the real-time geographic coordinates belong and the abnormal scene tag into abnormal road condition information.

[0134] Furthermore, the road segment to which the real-time geographic coordinates belong can be a road segment with the real-time geographic coordinates as the midpoint, or a road segment with the real-time geographic coordinates as the starting or ending point. The length of this road segment can be a relatively short distance, such as 100m or 200m.

[0135] Optionally, the information processing device on the first vehicle may obtain the first location information via a GPS module after determining that at least one road scene of an abnormal scene type has been detected; the information processing device on the first vehicle may also obtain the first location information via a GPS module while obtaining real-time road data of the first real-time location of the first vehicle; the information processing device on the first vehicle may also obtain the first location information via a GPS module within a time period before any abnormal road condition information corresponding to the first real-time location is generated, without any limitation.

[0136] In this embodiment, the information processing device on the first vehicle packages the first location information corresponding to the first real-time location and the abnormal scene tag and generates abnormal road condition information corresponding to the first real-time location. This allows other vehicles that receive the abnormal road condition information to accurately know the specific location information of the first real-time location. The specific location information can then determine whether the vehicle has passed through the first real-time location. If the vehicle has passed through the first real-time location, the first location information can be used to determine a more suitable reminder location to remind the driver of the abnormal road condition. At the same time, the abnormal road scene tag enables the driver to be aware of sudden road scenes passing through the real-time location in a timely manner, thereby further improving driving safety.

[0137] In the embodiments disclosed herein, such as Figure 3 As shown, this disclosure provides a flowchart of another information processing method. In an embodiment of this disclosure, the method is applied to a second vehicle; for example, the second vehicle may be... Figure 1 The second vehicle 120 in the process. Furthermore, the method can be applied to the information processing equipment on the second vehicle, which can be a main controller, a driver assistance system (SOC), or a computing platform, without limitation.

[0138] like Figure 3 As shown, the information processing method includes the following steps:

[0139] S310. Receive abnormal road condition information sent by the server. The abnormal road condition information corresponds to the first real-time location. The abnormal road condition information is generated when there is a target road scene of the abnormal scene type in at least one road scene corresponding to the first real-time location. The at least one road scene is obtained by analyzing the real-time road data obtained by the first vehicle at the first real-time location.

[0140] In this embodiment of the disclosure, the information processing device on the second vehicle can monitor and receive abnormal road condition information sent by the server in real time during the driving of the second vehicle.

[0141] Among them, the server can be, for example Figure 1 Server 130 in the middle.

[0142] Furthermore, the information processing equipment on the second vehicle can communicate with the server through vehicle networking technology, thereby listening to and receiving abnormal road condition information sent by the server.

[0143] Furthermore, abnormal road condition information can correspond to the first real-time location. Abnormal road condition information can be generated when there is a target road scene of the abnormal scene type in at least one road scene corresponding to the first real-time location. At least one road scene can be obtained by analyzing the real-time road data obtained by the first vehicle at the first real-time location, as explained above, and will not be repeated here.

[0144] S320: In response to abnormal road condition information, issue an abnormal road condition alert.

[0145] In this embodiment of the disclosure, after receiving abnormal road condition information sent by the server, the information processing device on the second vehicle can respond to the abnormal road condition information by issuing an abnormal road condition reminder corresponding to the abnormal road condition information to remind the driver.

[0146] In this embodiment of the disclosure, the abnormal road condition alert method may include, but is not limited to, at least one of the following: voice prompts, graphic prompts, dashboard flashing lights, vibration from a vibration device installed in a special position on the steering wheel.

[0147] Optionally, the voice prompt can play audio through the vehicle's voice playback device to alert the driver to the location of a road with abnormal road conditions.

[0148] Graphical prompts can display corresponding icons or text on the vehicle's display screen or dashboard to alert the driver to the location of roads with detected abnormal road conditions.

[0149] The dashboard flashing light can alert the driver to the location of a road with abnormal road conditions by flashing a light on the dashboard.

[0150] A vibration device installed in a special position on the steering wheel can alert the driver to the location of road conditions with abnormalities.

[0151] In this embodiment, the information processing device on the second vehicle can receive abnormal road condition information sent by the server and issue an abnormal road condition reminder corresponding to the abnormal road condition information to the driver. Since the abnormal road condition information is generated when there is a target road scene of an abnormal scene type in at least one road scene corresponding to the first real-time location, and at least one road scene is obtained based on real-time road data analysis of the first real-time location, the second vehicle can promptly remind the driver of abnormal road conditions, so that the driver receives a pre-warning from the second vehicle, thereby enabling the driver to be aware of sudden abnormal road conditions in a timely manner, so as to prepare in advance and improve driving safety.

[0152] In another embodiment of this disclosure, in order to avoid the server missing information, the server can notify relevant vehicles by widely disseminating information. In this case, S310 may specifically include: receiving broadcast information sent by the server, the broadcast information including abnormal road condition information.

[0153] Specifically, the server can notify the second vehicle via broadcast. The information processing equipment on the second vehicle can receive the broadcast information sent by the server and obtain abnormal road condition information from the broadcast information.

[0154] Therefore, the server does not need to send information to each vehicle individually, but instead notifies the relevant vehicles by widely disseminating information, avoiding any omissions and ensuring that all relevant vehicles receive the information, thus further improving the driving safety of the relevant vehicles.

[0155] In yet another embodiment of this disclosure, prior to S320, the information processing method further includes: detecting in real time whether the second vehicle passes through the first real-time location based on abnormal road condition information.

[0156] Furthermore, abnormal traffic condition alerts can be issued, including: if a second vehicle is detected passing through the first real-time location, an abnormal traffic condition alert can be issued.

[0157] In this embodiment of the disclosure, the second vehicle passing through the first real-time location can be understood as the first real-time location being on the driving route of the second vehicle.

[0158] Specifically, after receiving abnormal road condition information sent by the server, the information processing device on the second vehicle can detect in real time whether the second vehicle passes through the first real-time location based on the abnormal road condition information before issuing an abnormal road condition reminder to the second vehicle. If the second vehicle passes through the first real-time location, an abnormal road condition reminder will be issued to remind the driver that the current driving route will pass through a road location with abnormal road conditions. Otherwise, no abnormal road condition reminder will be issued.

[0159] Therefore, the information processing equipment on the second vehicle 120 can only issue an abnormal road condition reminder when it detects that the second vehicle 120 will pass through the first real-time location, thereby reducing unnecessary abnormal road condition reminders to the driver and reducing driving interference to the driver.

[0160] In some embodiments of this disclosure, abnormal road condition information may include first location information corresponding to a first real-time location.

[0161] Specifically, the real-time detection of whether the second vehicle passes through the first real-time location based on abnormal road condition information can include: based on the first location information, detecting whether the planned path of the second vehicle passes through the first real-time location; if the planned path of the second vehicle passes through the first real-time location, then it is determined that the second vehicle has passed through the first real-time location; if the planned path of the second vehicle does not pass through the first real-time location, then it is determined that the second vehicle has not passed through the first real-time location.

[0162] Specifically, after receiving abnormal road condition information, the information processing device on the second vehicle can first extract the first location information corresponding to the first real-time location in the abnormal road condition information, and then match the first location information with the pre-planned route of the second vehicle to determine whether the planned route includes the first real-time location. If the planned route includes the first real-time location, it is determined that the second vehicle will pass through the first real-time location. If the planned route of the second vehicle does not include the first real-time location, it is determined that the second vehicle will not pass through the first real-time location.

[0163] Optionally, the first location information corresponding to the first real-time location can be the real-time geographic coordinates corresponding to the first real-time location, or it can be the road segment to which the real-time geographic coordinates corresponding to the first real-time location belong, without any restrictions.

[0164] In some embodiments, when the first location information is the real-time geographic coordinates of the first real-time location, the information processing device on the second vehicle can compare the geographic coordinates corresponding to each location on the planned path with the real-time geographic coordinates of the first real-time location. If there are geographic coordinates that are the same as the real-time geographic coordinates of the first real-time location, it is determined that the planned path includes the first real-time location; otherwise, it is determined that the planned path does not include the first real-time location.

[0165] In other embodiments, when the first location information is the road segment to which the real-time geographic coordinates belong, the information processing device on the second vehicle can compare the road segments involved in each location on the planned path with the road segments to which the real-time geographic coordinates of the first real-time location belong. If there is a road segment that is the same as the road segment to which the real-time geographic coordinates of the first real-time location belong, it is determined that the planned path includes the first real-time location; otherwise, it is determined that the planned path does not include the first real-time location.

[0166] Therefore, the information processing device on the first vehicle can report the first location information corresponding to the first real-time location where abnormal road conditions occur to the server, and the server can notify the information processing device on the second vehicle, so that the information processing device on the second vehicle can first determine whether its planned path involves the first real-time location based on the first location information corresponding to the first real-time location, and then detect whether the second vehicle will pass through the first real-time location, thereby improving the accuracy of the detection results.

[0167] In another embodiment of this disclosure, the information processing method may include: detecting in real time whether the second vehicle has reached the road range corresponding to the first real-time location based on abnormal road condition information.

[0168] Furthermore, issuing an abnormal road condition alert can specifically include: if a second vehicle is detected to have entered the road area corresponding to the first real-time location, an abnormal road condition alert can be issued.

[0169] In this embodiment of the disclosure, the arrival of the second vehicle within the road range corresponding to the first real-time location can be understood as the second vehicle being about to arrive at the first real-time location.

[0170] In some embodiments, the information processing device on the second vehicle can detect in real time whether the second vehicle has reached the road range corresponding to the first real-time location after receiving abnormal road condition information sent by the server and before issuing an abnormal road condition reminder corresponding to the abnormal road condition information. If the abnormal road condition information is detected, an abnormal road condition reminder corresponding to the abnormal road condition information is issued to remind the driver that the current driving route is about to reach a road location with abnormal road conditions. Otherwise, no abnormal road condition reminder corresponding to the abnormal road condition information is issued.

[0171] Therefore, the information processing equipment on the second vehicle can issue an abnormal road condition alert when it detects that the second vehicle is about to reach the first real-time location, thereby further improving the driver's vigilance and driving safety.

[0172] In other embodiments, the information processing device on the second vehicle may also detect in real time whether the second vehicle has reached the road range corresponding to the first real-time location after detecting that the second vehicle has passed through the first real-time location and before issuing the abnormal road condition reminder corresponding to the abnormal road condition information. Then, if the second vehicle is detected to have reached the road range corresponding to the first real-time location, the device may issue the abnormal road condition reminder corresponding to the abnormal road condition information to remind the driver that the current driving route is about to reach a road location with abnormal road conditions; otherwise, the device may not issue the abnormal road condition reminder corresponding to the abnormal road condition information.

[0173] Therefore, the information processing equipment on the second vehicle can issue an abnormal road condition alert when it detects that the second vehicle is about to reach the first real-time location, further improving the driver's vigilance and driving safety. At the same time, the information processing equipment on the second vehicle only further detects whether the second vehicle is about to reach the first real-time location when it detects that the second vehicle will pass through it, reducing the data processing load on the second vehicle's information processing equipment.

[0174] In some embodiments of this disclosure, abnormal road condition information includes first location information corresponding to a first real-time location.

[0175] Specifically, the real-time detection of whether the second vehicle has reached the road range corresponding to the first real-time location based on abnormal road condition information may include: based on the first location information, detecting whether the first real-time location is within a preset range ahead along the driving direction of the second vehicle; if the first real-time location is detected to be within the preset range ahead, then it is determined that the second vehicle has reached the road range corresponding to the first real-time location; if the first real-time location is detected not to be within the preset range ahead, then it is determined that the second vehicle has not reached the road range corresponding to the first real-time location.

[0176] Specifically, the information processing device on the second vehicle can obtain the current driving position in real time, and obtain each position within a preset range ahead of the current driving position in the driving direction. Then, based on the first position information corresponding to the first position and the position information corresponding to each position, it can detect whether the first real-time position is within the preset range ahead of the second vehicle in the driving direction. If the first real-time position is detected to be within the preset range ahead, it is determined that the second vehicle is about to reach the road range corresponding to the first real-time position. Otherwise, it is determined that the second vehicle has not reached the road range corresponding to the first real-time position.

[0177] The preset range can be a distance range that is pre-set as needed to determine whether a vehicle is about to arrive at a specified location, such as 0-100m, 0-200m, etc., and there are no restrictions here.

[0178] In some embodiments, when the first location information is the real-time geographic coordinates of the first real-time location, the information processing device on the second vehicle can compare the geographic coordinates corresponding to each location within a preset range ahead along the driving direction of the second vehicle with the real-time geographic coordinates of the first real-time location. If there is a geographic coordinate that is the same as the real-time geographic coordinates of the first real-time location, it is determined that the second vehicle has been detected to have reached the road range corresponding to the first real-time location; otherwise, it is determined that the second vehicle has not been detected to have reached the road range corresponding to the first real-time location.

[0179] In other embodiments, when the first location information is the road segment to which the real-time geographic coordinates belong, the information processing device on the second vehicle can compare the road segments involved in each location within a preset range along the driving direction of the second vehicle with the road segment to which the real-time geographic coordinates of the first real-time location belong. If there is a road segment that is the same as the road segment to which the real-time geographic coordinates of the first real-time location belong, it is determined that the second vehicle has been detected to have reached the road range corresponding to the first real-time location; otherwise, it is determined that the second vehicle has not been detected to have reached the road range corresponding to the first real-time location.

[0180] Therefore, the information processing equipment on the second vehicle can detect whether the second vehicle is about to reach the first real-time location by detecting whether the first real-time location exists in the designated road area in front of the second vehicle, thereby improving the accuracy of the detection results and providing the driver with reaction time, further improving the driving safety of the vehicle.

[0181] In some embodiments of this disclosure, abnormal road condition information includes first location information corresponding to a first real-time location.

[0182] Specifically, the real-time detection of whether the second vehicle has reached the road area corresponding to the first real-time location based on abnormal road condition information can include: determining the abnormal road condition alert location corresponding to the first real-time location based on the first location information corresponding to the first real-time location; detecting whether the second vehicle has reached the abnormal road condition alert location; if the second vehicle is detected to have reached the abnormal road condition alert location, then it is determined that the second vehicle has reached the road area corresponding to the first real-time location; if the second vehicle is detected not to have reached the abnormal road condition alert location, then it is determined that the second vehicle has not reached the road area corresponding to the first real-time location.

[0183] Specifically, the information processing device on the second vehicle can first determine the abnormal traffic condition warning location corresponding to the first real-time location based on the first location information, then obtain the current driving location in real time, and detect in real time whether the geographical coordinates of the current driving location are the same as the geographical coordinates of the abnormal traffic condition warning location. If the geographical coordinates of the current driving location are the same as the geographical coordinates of the abnormal traffic condition warning location, it is detected that the second vehicle has reached the abnormal traffic condition warning location, and it is determined that the second vehicle is about to enter the road range corresponding to the first real-time location. Otherwise, it is determined that the second vehicle has not entered the road range corresponding to the first real-time location.

[0184] In some embodiments, when the first location information is the real-time geographic coordinates of the first real-time location, the information processing device on the second vehicle can determine the location that differs from the real-time geographic coordinates by a preset distance along the opposite direction of the second vehicle's driving direction as the abnormal road condition alert location.

[0185] In other embodiments, when the first location information is the road segment to which the real-time geographic coordinates belong, the information processing device on the second vehicle can determine the location of the abnormal road condition alert location as the location of the road segment endpoint that is closer to the second vehicle than the road segment to which the real-time geographic coordinates belong, which is a preset distance away from the road segment to which the second vehicle is traveling in the opposite direction of the second vehicle's direction of travel.

[0186] Furthermore, the preset distance can be a distance value that is pre-set as needed to determine the location where abnormal road conditions need to be alerted to the driver, such as 100m, 200m, etc., without any limitation.

[0187] Therefore, the information processing equipment on the second vehicle can detect whether the second vehicle is about to reach the abnormal road condition warning location corresponding to the first real-time location, thereby providing the driver with reaction time and further improving the driving safety of the vehicle.

[0188] In another embodiment of this disclosure, if the abnormal road condition information sent by the server includes abnormal scene tags corresponding to each target road scene, the information processing device on the second vehicle can further provide road condition reminders and information processing based on the abnormal scene tags corresponding to the target road scenes.

[0189] In some embodiments of this disclosure, the information processing device on the second vehicle can generate a reminder instruction based on the abnormal scene tag and send the reminder instruction to reminder devices such as voice playback devices, displays, dashboards, vibration devices, etc., so that the reminder device can remind the first real-time location of the abnormal road scene based on the reminder instruction.

[0190] For example, the voice playback device can play audio to alert passengers to various abnormal road scenarios that are about to be encountered, the display screen can show icons or text corresponding to each abnormal road scenario that is about to be encountered, the dashboard can flash lights of the colors corresponding to each abnormal road scenario that is about to be encountered in sequence, and the vibration device can vibrate in sequence according to the vibration mode corresponding to each abnormal road scenario that is about to be encountered.

[0191] Furthermore, when the abnormal road condition information includes the first location information corresponding to the first real-time location, the information processing device on the second vehicle can generate a reminder instruction based on the first location information corresponding to the first real-time location and the abnormal scene label, and send the reminder instruction to the reminder device such as a voice playback device or a display screen, so that the reminder device can remind the first real-time location that is about to be passed and the abnormal road scene involved in the first real-time location based on the reminder instruction.

[0192] For example, the voice playback device can play audio to indicate the road segment to which the first real-time location to be traversed belongs and the various abnormal road scenarios involved in that road segment, and the display screen can display icons or text corresponding to the road segment to which the first real-time location to be traversed belongs and the various abnormal road scenarios involved in that road segment.

[0193] Therefore, the second vehicle can provide personalized alerts to drivers regarding abnormal road conditions, thereby improving the driver's driving experience.

[0194] In other embodiments of this disclosure, since road conditions change in real time, after the server receives and broadcasts abnormal road condition information corresponding to the first real-time location, the information processing device on the second vehicle, while reminding the driver, will also cooperate with the server to detect changes in the condition of the first real-time location. For example, it will acquire new real-time road data for the first real-time location, perform road scene analysis on the first real-time location based on the new real-time road data, obtain at least one new road scene to which the first real-time location belongs, and then determine whether the target road scene still exists based on the abnormal scene tag corresponding to the target road scene. If it does, no information will be sent to the server; if not, abnormal road condition clearance information corresponding to the first real-time location can be generated and sent to the server. After receiving the abnormal road condition clearance information, the server can send the abnormal road condition clearance information to other vehicles, so that other vehicles that have not yet passed the first real-time location can receive the abnormal road condition clearance information and cancel the abnormal road condition reminder in response to the abnormal road condition clearance information, further improving the driver's driving experience.

[0195] Figure 4 A structural block diagram of an information processing device in one embodiment is shown. In this embodiment, the information processing device can be mounted on a first vehicle; for example, the first vehicle can be... Figure 1 The first vehicle 110 in the process. Further, the information processing device can be installed in the information processing equipment on the first vehicle. The information processing equipment on the first vehicle can be a main controller, a driver assistance system (SOC), or a computing platform, and there are no restrictions here.

[0196] like Figure 4 As shown, the information processing device 400 may include a data acquisition module 410, a scene analysis module 420, an information generation module 430, and an information sending module 440.

[0197] The data acquisition module 410 can be used to acquire real-time road data of the first real-time location of the first vehicle.

[0198] The scene analysis module 420 can be used to perform road scene analysis on a first real-time location based on real-time road data, and obtain at least one road scene to which the first real-time location belongs.

[0199] The information generation module 430 can be used to generate abnormal road condition information corresponding to the first real-time location if there is a target road scene of the abnormal scene type in at least one road scene.

[0200] The information sending module 440 can be used to send abnormal road condition information to the server, and the abnormal road condition information is used to notify the second vehicle to issue an abnormal road condition reminder.

[0201] In this embodiment of the disclosure, a first vehicle at a first real-time location can collect real-time road data at that location, and perform road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene to which the real-time location belongs. Then, when there is a target road scene of an abnormal scene type in the at least one road scene, corresponding abnormal road condition information is generated and sent to the server. This allows the server to notify other vehicles, i.e., the second vehicle, to issue an abnormal road condition alert corresponding to the abnormal road condition information. This enables other vehicles to promptly obtain abnormal road condition information and promptly alert the driver to the abnormal road condition, thereby enabling the driver to promptly obtain information about sudden abnormal road conditions and improving driving safety.

[0202] In some embodiments of this disclosure, the information processing device 400 may further include a state detection module, which can be used to detect the real-time vehicle state of the first vehicle before acquiring real-time road data of the first real-time location of the first vehicle.

[0203] The data acquisition module 410 can also be used to acquire real-time road data of the first real-time location of the first vehicle when the real-time vehicle status is driving.

[0204] In some embodiments of this disclosure, the scene analysis module 420 may include a road scene detection unit and a road scene determination unit.

[0205] This road scene detection unit can be used to input real-time road data into a pre-trained road scene analysis model to obtain the probability value of the first real-time position belonging to each preset scene, as output by the road scene analysis model.

[0206] The road scene determination unit can be used to identify preset scenes with probability values ​​greater than or equal to a preset first probability value threshold as the road scene to which the first real-time location belongs.

[0207] In some embodiments of this disclosure, the information generation module 430 may include an abnormal probability value calculation unit and an abnormal road condition information generation unit.

[0208] This anomaly probability calculation unit can be used to fuse and calculate the probability values ​​corresponding to the target road scene to obtain the anomaly probability value corresponding to the first real-time location.

[0209] The abnormal road condition information generation unit can be used to generate abnormal road condition information corresponding to the first real-time location if the abnormal probability value is greater than or equal to a preset second probability value threshold.

[0210] In some embodiments of this disclosure, the information generation module 430 may include an information acquisition unit and an information packaging unit.

[0211] This information acquisition unit can be used to acquire the first location information corresponding to the first real-time location and the abnormal scene label corresponding to the target road scene.

[0212] This information packaging unit is used to package the first location information and the abnormal scene label into abnormal road condition information.

[0213] It should be noted that, Figure 4 The information processing device 400 shown can perform Figure 2 The various steps in the method embodiment shown are implemented. Figure 2 The processes and effects in the method embodiments shown are not described in detail here.

[0214] Figure 5 A structural block diagram of an information processing device in another embodiment is shown. In this embodiment, the information processing device can be mounted on a second vehicle; for example, the second vehicle can be... Figure 1 The second vehicle 120. Further, the information processing device can be installed in the information processing equipment on the second vehicle. The information processing equipment on the second vehicle can be a main controller, a driver assistance system (SOC), or a computing platform, without any restrictions.

[0215] like Figure 5 As shown, the information processing device 500 may include an information receiving module 510 and a traffic alert module 520.

[0216] The information receiving module 510 can be used to receive abnormal road condition information sent by the server. The abnormal road condition information corresponds to a first real-time location. The abnormal road condition information is generated when there is a target road scene of the abnormal scene type in at least one road scene corresponding to the first real-time location. The at least one road scene is obtained by analyzing the real-time road data obtained by the first vehicle at the first real-time location.

[0217] The traffic alert module 520 can be used to issue an alert in response to abnormal traffic information.

[0218] In this embodiment, the information processing device on the second vehicle can receive abnormal road condition information sent by the server and issue an abnormal road condition reminder corresponding to the abnormal road condition information to the driver. Since the abnormal road condition information is generated when there is a target road scene of an abnormal scene type in at least one road scene corresponding to the first real-time location, and at least one road scene is obtained based on real-time road data analysis of the first real-time location, the second vehicle can promptly remind the driver of abnormal road conditions, so that the driver receives a pre-warning from the second vehicle, thereby enabling the driver to be aware of sudden abnormal road conditions in a timely manner, so as to prepare in advance and improve driving safety.

[0219] In some embodiments of this disclosure, the information processing device 500 may further include a first location detection module, which may be specifically used to detect in real time whether a second vehicle passes through a first real-time location based on abnormal road condition information before issuing an abnormal road condition alert.

[0220] Specifically, the traffic alert module 520 can be used to issue an abnormal traffic alert if a second vehicle is detected passing through the first real-time location.

[0221] In some embodiments of this disclosure, abnormal road condition information may include first location information corresponding to a first real-time location.

[0222] The first position detection module may include a first detection unit, a first determination unit, and a second determination unit.

[0223] The first detection unit can be used to detect whether the planned path of the second vehicle passes through the first real-time location based on the first location information.

[0224] The first determining unit can be used to determine that the second vehicle has passed through the first real-time location if the planned path of the second vehicle is detected.

[0225] The second determining unit can be used to determine that the second vehicle does not pass through the first real-time location if the planned path of the second vehicle is detected to not pass through the first real-time location.

[0226] In some embodiments of this disclosure, the information processing device 500 may further include a second location detection module, which is specifically used to detect in real time whether the second vehicle has reached the road range corresponding to the first real-time location based on the abnormal road condition information before issuing an abnormal road condition alert.

[0227] Specifically, the traffic alert module 520 can also be used to issue an abnormal traffic alert if a second vehicle is detected to have entered the road area corresponding to the first real-time location.

[0228] In some embodiments of this disclosure, abnormal road condition information may include first location information corresponding to a first real-time location.

[0229] The second position detection module may include a second detection unit, a third determination unit, and a fourth determination unit.

[0230] The second detection unit can be used to detect whether the first real-time position is within a preset range ahead of the second vehicle's driving direction, based on the first position information.

[0231] The third determining unit can be used to determine, if the first real-time position is detected to be within a preset range ahead, that the second vehicle has arrived within the road range corresponding to the first real-time position.

[0232] The fourth determining unit can be used to determine that the second vehicle has not reached the road range corresponding to the first real-time position if the first real-time position is not detected to be within the preset range ahead.

[0233] In some embodiments of this disclosure, abnormal road condition information may include first location information corresponding to a first real-time location.

[0234] The second position detection module may further include a position determination unit, a third detection unit, a fifth determination unit, and a sixth determination unit.

[0235] The location determination unit can be used to determine the location of abnormal traffic alerts corresponding to the first real-time location based on the first location information.

[0236] The third detection unit can be used to detect whether the second vehicle has reached the abnormal road condition warning location.

[0237] The fifth determining unit can be used to determine, if a second vehicle is detected to have arrived at the abnormal road condition alert location, that the second vehicle has arrived within the road range corresponding to the first real-time location.

[0238] The sixth determining unit can be used to determine, if it is detected that the second vehicle has not reached the abnormal road condition warning location, the road range corresponding to the first real-time location.

[0239] In some embodiments of this disclosure, the information receiving module 510 may be specifically used to receive broadcast information sent by the server, including abnormal road condition information.

[0240] It should be noted that, Figure 5 The information processing device 500 shown can perform Figure 3 The various steps in the method embodiment shown are implemented. Figure 3 The processes and effects in the method embodiments shown are not described in detail here.

[0241] Figure 6 A schematic diagram of the structure of an information processing device provided in an embodiment of this disclosure is shown.

[0242] In this embodiment of the disclosure, Figure 6 The information processing device shown can be the vehicle's main controller, a driver assistance system (SOC), or a computing platform.

[0243] like Figure 6 As shown, the information processing device may include a processor 610 and a memory 620 storing computer program instructions.

[0244] Specifically, the processor 610 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0245] Memory 620 may include a large-capacity storage for information or instructions. For example, and not limitingly, memory 620 may include a hard disk drive (HDD), a floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 620 may include removable or non-removable (or fixed) media. Where appropriate, memory 620 may be internal or external to the integrated gateway device. In a particular embodiment, memory 620 is a non-volatile solid-state memory. In a particular embodiment, memory 620 includes read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (Electrically Programmable ROM, EPROM), an electrically erasable programmable PROM (EEPROM), an electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0246] The processor 610 reads and executes computer program instructions stored in the memory 620 to perform the steps of the information processing method provided in the embodiments of this disclosure.

[0247] In one example, the information processing device may further include a transceiver 630 and a bus 640. Wherein, as... Figure 6 As shown, the processor 610, memory 620 and transceiver 630 are connected via bus 640 and communicate with each other.

[0248] Bus 640 may include hardware, software, or both. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, bus 640 may include one or more buses.

[0249] This disclosure also provides a computer-readable storage medium that can store a computer program, which, when executed by a processor, enables the processor to implement the information processing method provided in this disclosure.

[0250] The aforementioned storage medium may, for example, include a memory 620 containing computer program instructions, which can be executed by a processor 610 of an information processing device to complete the information processing method provided in the embodiments of this disclosure. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), compact disc ROM (CD-ROM), magnetic tape, floppy disk, and optical data storage device.

[0251] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0252] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An information processing method applied to a first vehicle, characterized in that, include: Obtain real-time road data for the first real-time location of the first vehicle; Based on the real-time road data, road scene analysis is performed on the first real-time location to obtain at least one road scene to which the first real-time location belongs. If there is a target road scene of the abnormal scene type in the at least one road scene, generate abnormal road condition information corresponding to the first real-time location; The abnormal road condition information is sent to the server, and the abnormal road condition information is used to notify the second vehicle to issue an abnormal road condition reminder. The step of analyzing the road scene at the first real-time location based on the real-time road data to obtain at least one road scene to which the first real-time location belongs includes: The real-time road data is input into a pre-trained road scene analysis model to obtain the probability value of the first real-time location belonging to each preset scene output by the road scene analysis model. The preset scene whose probability value is greater than or equal to the preset first probability value threshold is taken as the road scene to which the first real-time location belongs. The generation of abnormal traffic information corresponding to the first real-time location includes: The probability values ​​corresponding to the target road scene are fused and calculated to obtain the anomaly probability value corresponding to the first real-time location; If the abnormal probability value is greater than or equal to a preset second probability value threshold, abnormal road condition information corresponding to the first real-time location is generated.

2. The method according to claim 1, characterized in that, Before acquiring real-time road data of the first real-time location of the first vehicle, the method further includes: Detect the real-time vehicle status of the first vehicle; The step of obtaining real-time road data of the first real-time location of the first vehicle includes: When the real-time vehicle status is in a driving state, real-time road data of the first real-time location of the first vehicle is obtained.

3. The method according to any one of claims 1 to 2, characterized in that, The generation of abnormal traffic information corresponding to the first real-time location includes: Obtain the first location information corresponding to the first real-time location and the abnormal scene label corresponding to the target road scene; The first location information and the abnormal scene tag are packaged into the abnormal road condition information.

4. An information processing method applied to a second vehicle, characterized in that, include: The system receives abnormal traffic information sent by a server. The abnormal traffic information corresponds to a first real-time location. The abnormal traffic information is generated when there is a target road scene of an abnormal scene type in at least one road scene corresponding to the first real-time location. The at least one road scene is obtained based on real-time road data acquired by a first vehicle at the first real-time location. The process includes: inputting the real-time road data into a pre-trained road scene analysis model to obtain the probability value of the first real-time location belonging to each preset scene output by the road scene analysis model; and taking the preset scenes with probability values ​​greater than or equal to a preset first probability value threshold as the road scene to which the first real-time location belongs. The generation of abnormal road condition information includes: performing a fusion calculation on the probability values ​​corresponding to the target road scene to obtain the abnormal probability value corresponding to the first real-time location; if the abnormal probability value is greater than or equal to a preset second probability value threshold, generating abnormal road condition information corresponding to the first real-time location. In response to the abnormal road condition information, an abnormal road condition alert is issued.

5. The method according to claim 4, characterized in that, Before issuing the abnormal traffic condition alert, the method further includes: Based on the abnormal road condition information, it is detected in real time whether the second vehicle passes through the first real-time location; The issuance of abnormal traffic condition alerts includes: If the second vehicle is detected passing through the first real-time location, an abnormal traffic condition alert will be issued.

6. The method according to claim 5, characterized in that, The abnormal road condition information includes the first location information corresponding to the first real-time location; The step of detecting in real time whether the second vehicle has passed through the first real-time location based on the abnormal road condition information includes: Based on the first location information, detect whether the planned path of the second vehicle passes through the first real-time location; If the planned path of the second vehicle is detected to pass through the first real-time location, then it is determined that the second vehicle has passed through the first real-time location. If it is detected that the planned path of the second vehicle does not pass through the first real-time location, then it is determined that the second vehicle does not pass through the first real-time location.

7. The method according to claim 4 or 5, characterized in that, Before issuing the abnormal traffic condition alert, the method further includes: Based on the abnormal road condition information, it is detected in real time whether the second vehicle has reached the road range corresponding to the first real-time location; The issuance of abnormal traffic condition alerts includes: If the second vehicle is detected to have entered the road area corresponding to the first real-time location, an abnormal road condition alert will be issued.

8. The method according to claim 7, characterized in that, The abnormal road condition information includes the first location information corresponding to the first real-time location; The step of detecting in real time whether the second vehicle has reached the road area corresponding to the first real-time location based on the abnormal road condition information includes: Based on the first location information, detect whether the first real-time location is within a preset range ahead along the driving direction of the second vehicle; If the first real-time location is detected to be within the preset range ahead, then it is determined that the second vehicle has been detected to have reached the road range corresponding to the first real-time location; If the first real-time location is detected to be outside the preset range ahead, it is determined that the second vehicle has not reached the road range corresponding to the first real-time location.

9. The method according to claim 7, characterized in that, The abnormal road condition information includes the first location information corresponding to the first real-time location; The step of detecting in real time whether the second vehicle has reached the road area corresponding to the first real-time location based on the abnormal road condition information includes: Based on the first location information, determine the location of the abnormal traffic alert corresponding to the first real-time location; Detect whether the second vehicle has reached the location of the abnormal road condition alert; If the second vehicle is detected to have reached the abnormal road condition alert location, it is determined that the second vehicle has been detected to have reached the road range corresponding to the first real-time location; If it is detected that the second vehicle has not reached the abnormal road condition alert location, then it is determined that the second vehicle has not reached the road range corresponding to the first real-time location.

10. The method according to claim 4, characterized in that, The abnormal traffic information sent by the receiving server includes: The server receives broadcast information, which includes the abnormal traffic information.

11. An information processing device applied to a first vehicle, characterized in that, include: The data acquisition module is used to acquire real-time road data of the first real-time location of the first vehicle; The scene analysis module is used to perform road scene analysis on the first real-time location based on the real-time road data, and obtain at least one road scene to which the first real-time location belongs. The information generation module is used to generate abnormal road condition information corresponding to the first real-time location if there is a target road scene of the abnormal scene type in the at least one road scene. The information sending module is used to send the abnormal road condition information to the server, and the abnormal road condition information is used to notify the second vehicle to issue an abnormal road condition reminder. The scene analysis module is specifically used to input the real-time road data into a pre-trained road scene analysis model to obtain the probability value of the first real-time location belonging to each preset scene output by the road scene analysis model; and to take the preset scene whose probability value is greater than or equal to a preset first probability value threshold as the road scene to which the first real-time location belongs. The information generation module is specifically used to perform fusion calculation on the probability values ​​corresponding to the target road scene to obtain the anomaly probability value corresponding to the first real-time location; If the abnormal probability value is greater than or equal to a preset second probability value threshold, abnormal road condition information corresponding to the first real-time location is generated.

12. An information processing device applied to a second vehicle, characterized in that, include: An information receiving module is used to receive abnormal road condition information sent by a server. The abnormal road condition information corresponds to a first real-time location. The abnormal road condition information is generated when there is a target road scene of an abnormal scene type in at least one road scene corresponding to the first real-time location. The at least one road scene is obtained based on real-time road data acquired by a first vehicle at the first real-time location. The process includes: inputting the real-time road data into a pre-trained road scene analysis model to obtain the probability value of the first real-time location belonging to each preset scene output by the road scene analysis model; and taking the preset scenes with probability values ​​greater than or equal to a preset first probability value threshold as the road scene to which the first real-time location belongs. The generation of abnormal road condition information includes: performing a fusion calculation on the probability values ​​corresponding to the target road scene to obtain the abnormal probability value corresponding to the first real-time location; if the abnormal probability value is greater than or equal to a preset second probability value threshold, generating abnormal road condition information corresponding to the first real-time location. The traffic condition alert module is used to issue an abnormal traffic condition alert in response to the abnormal traffic condition information.

13. An information processing device, characterized in that, include: processor; Memory, used to store executable instructions; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the information processing method of any one of claims 1-3 or any one of claims 4-10.

14. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that, when executed by a processor, causes the processor to implement the information processing method according to any one of claims 1-3 or any one of claims 4-10.

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